## File(s) not publicly available

# A new computational method for the functional inequality constrained minimax optimization problem

journal contribution

posted on 2023-05-16, 19:13 authored by Jiang, D, Teo, KL, Yan, WYIn this paper, we consider a general class of functional inequality constrained minimax optimization problems. This problem is first converted into a semi-infinite programming problem. Then, an auxiliary cost function is constructed based on a positive saturated function. The smallest zero of this auxiliary cost function is equal to the minimal cost of the semi-infinite programming problem. However, this auxiliary cost function is nonsmooth. Thus, a smoothing function is introduced. Then, an efficient computational procedure is developed to estimate the smallest zero of this auxiliary cost function. Furthermore, an error bound is obtained to validate the accuracy of the approximate solution. For illustration, two numerical examples are solved using the proposed approach.

## History

## Publication title

Computers & Mathematics with Applications## Volume

33## Issue

6## Pagination

53-63## ISSN

0898-1221## Department/School

School of Engineering## Publisher

Elsevier## Place of publication

USA## Repository Status

- Restricted